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APEX

APEX

Agentic Platform Engineering eXperience for Azure

APEX

Transform Azure platform engineering for IT Pros. Powered by GitHub Copilot and specialized AI agents, APEX converts requirements into architecture diagrams, governance-aligned designs, and deploy-ready Bicep or Terraform templates — with built-in pricing, compliance, and automation.

Get Started

Use the Template

GitHub Copilot Chat
YOU

I need Azure infrastructure for my project. Capture the requirements, design a Well-Architected solution, and generate IaC templates.

requirements capturing business and technical needs
done
architecture designing the Well-Architected target state
in progress
iac generating infrastructure templates and modules
in progress
validation running pre-flight checks and deployment validation
queued
docs assembling runbooks, cost estimates, and as-built docs
queued
2 of 5 streams actively executing, shared delivery pipeline ready
How It Works

From requirements to resilient Azure infrastructure

AI agents prepare. Humans decide. Azure delivers.

The Workflow

Specialized AI agents collaborate through a structured multi-step pipeline: Requirements → Architecture → Governance → IaC Plan → Code → Deploy → Documentation. Each step includes adversarial review and human approval gates.

What you get
  • Production-ready Bicep or Terraform templates using Azure Verified Modules.
  • WAF-aligned architecture with cost estimates and governance compliance.
  • Automated validation, linting, and adversarial reviews at every step.
  • Complete as-built documentation, runbooks, and deployment summaries.
Explore

Everything you need to get started

Demo Walk the Il-Pastizzeria ta' Mario scenario through real agent outputs, reviews, and deployment artifacts.
Getting Started Set up from the Accelerator template and run your first agent workflow.
How It Works Understand the multi-agent architecture, skills system, and workflow.
Prompt Guide Ready-to-use prompt examples for every agent and skill.
Troubleshooting Common issues, diagnostic decision tree, and solutions.